// unique set. data is expected to be pre-sorted, and the resulting set in
// the range [0:size] will remain in sorted order. Uniq, following a
// sort.Sort call, can be used to prepare arbitrary inputs for use as sets.
func uniq(data sort.Interface) (size int) {
	p, l := 0, data.Len()
	if l <= 1 {
		return l
	}
	for i := 1; i < l; i++ {
		if !data.Less(p, i) {
			continue
		}
		p++

	dnsTTL := ctx.Duration("dns-cache-ttl")
	// Check if we have configured a custom DNS cache TTL.
	if dnsTTL <= 0 {
		if orchestrated {
			dnsTTL = 30 * time.Second
		} else {
			dnsTTL = 10 * time.Minute
		}
	}

	// Call to refresh will refresh names in cache.
	go func() {
		// Baremetal setups set DNS refresh window up to dnsTTL duration.
		t := time.NewTicker(dnsTTL)
		defer t.Stop()
		for {

 *
 * <h3>Common ways to use</h3>
 *
 * <p>Getting a converter:
 *
 * <ul>
 *   <li>Use a provided converter implementation, such as {@link Enums#stringConverter}, {@link
 *       com.google.common.primitives.Ints#stringConverter Ints.stringConverter} or the {@linkplain
 *       #reverse reverse} views of these.
 *   <li>Convert between specific preset values using {@link

    if (yStats.count() == 0) {
      sumOfProductsOfDeltas = values.sumOfProductsOfDeltas();
    } else {
      // This is a generalized version of the calculation in add(double, double) above. Note that
      // non-finite inputs will have sumOfProductsOfDeltas = NaN, so non-finite values will result
      // in NaN naturally.
      sumOfProductsOfDeltas +=
          values.sumOfProductsOfDeltas()
              + (values.xStats().mean() - xStats.mean())

					DeleteMarker: false,
				},
				{
					Name:         "unique/folder/1.txt",
					DeleteMarker: false,
				},
			},
		},
	}

	testCases := []struct {
		// Inputs to ListObjects.
		bucketName string
		prefix     string
		marker     string
		delimiter  string
		maxKeys    int
		versioned  bool
		// Expected output of ListObjects.
		resultL ListObjectsInfo

			return validateFiles(&istioNamespace, defaultNamespace, filenames, c.OutOrStderr())
		},
	}

	flags := c.PersistentFlags()
	flags.StringSliceVarP(&filenames, "filename", "f", nil, "Inputs of files to validate")
	flags.BoolVarP(&referential, "referential", "x", true, "Enable structural validation for policy and telemetry")
	_ = flags.MarkHidden("referential")
	return c
}

  /**
   * Returns a {@code Collector} that accumulates elements into an {@code ImmutableSortedMultiset}
   * whose elements are the result of applying {@code elementFunction} to the inputs, with counts
   * equal to the result of applying {@code countFunction} to the inputs.
   *
   * <p>If the mapped elements contain duplicates (according to {@code comparator}), the first

	saverQuitCh := make(chan struct{})
	go func() {
		saveTicker := time.NewTicker(10 * time.Second)
		defer saveTicker.Stop()
		quit := false
		after := time.Minute
		for !quit {
			select {
			case <-saveTicker.C:
			case <-ctx.Done():
				quit = true
			case <-saverQuitCh:
				quit = true
			}

			if quit {
				// save immediately if we are quitting

    }

/**
 * List the contents of this SMB resource. The list returned will be
 * identical to the list returned by the parameterless <code>list()</code>
 * method minus filenames filtered by the specified filter.
 *
 * @param filter a filename filter to exclude filenames from the results
 * @throws SmbException
 # @return An array of filenames
 */

}

void TFE_OpAddInputList(TFE_Op* op, TFE_TensorHandle** inputs, int num_inputs,
                        TF_Status* status) {
  status->status = tensorflow::unwrap(op)->AddInputList(
      {reinterpret_cast<tensorflow::AbstractTensorHandle**>(
           tensorflow::unwrap(inputs)),
       static_cast<size_t>(num_inputs)});
}